Key Topics

• Introduction to Recommender Systems in Real Estate
• Collaborative Filtering Concepts
• Simplifying Singular Value Decomposition (SVD)
• Data Preparation in Excel
• Running and Interpreting SVD Outputs
• Generating Explainable Property Recommendations
• Fine-Tuning and Handling Edge Cases
• Practical Application and Integration
• Discussion & Q&A

Learning Outcomes

By the end of this session, participants will be able to:

• Understand the fundamentals of collaborative filtering and how modern AI models predict user preferences.
• Learn how to structure property and buyer data for analysis using Excel-based macros
• Produce data-driven recommendations that reveal which property features appeal most to specific client segments
• Gain practical insights into applying AI-driven decision support to valuation and marketing workflows.

Designed for valuers and agents with no programming background, this course bridges AI and real estate practice — empowering professionals to make smarter, evidence-based recommendations that resonate with their clients.

Who Will Benefit

• Real Estate Agents
• Valuers
• Property Managers
• Property Consultants
• Developers & Investors

Speaker - Dr. Daniel Koh

Dr. Daniel Koh is a data scientist, educator, and entrepreneur with over 14 years of experience transforming complex data into actionable insights. He currently leads Data Chord Pte Ltd in Singapore and Koh & Associates in Japan, specializing in data science consulting, digital transformation, and cross-border business growth.

At Data Chord, Dr. Koh champions the belief that data is more than numbers — it is the language of the future. Under his leadership, the company empowers individuals and organizations to thrive in the age of Artificial Intelligence by building future-ready data professionals. Data Chord blends industry expertise, research-driven methods, and human-centered learning to deliver cutting-edge training and certification programs that equip learners worldwide for the evolving demands of the data economy.

Dr. Koh is the designer and program lead of the internationally accredited Professional Certificate in Data Science (Cybersecurity) – PCiDS™, which merges AI, machine learning, and cybersecurity into practical enterprise applications. He is also the creator of the Loss Aversion Distribution (LAD) model, published in the Journal of Behavioral Data Science, and a mentor to aspiring data professionals through global apprenticeships and academic partnerships with institutions such as the Paris School of Management, Swiss School of Business and Management, and Management Development Institute of Singapore (MDIS).

Driven by a mission to bridge data science with social impact, Dr. Koh advocates for ethical innovation and the responsible use of technology to solve real-world challenges — one data chord at a time.